Entry requirements

15 credits Chemistry including 5 credits from Chemical Principles 10 credits / Basic Chemistry 10 credits / The Basic Principles of Chemistry 15 credits, as well as participation in other Chemistry courses for 15 cr.

Learning outcomes

On completion of the course, the student should be able to:

• identify and describe the steps that are included in a complete analytical procedure
• account for common sampling techniques for inorganic and organic compounds and calculate necessary sample size and number of samples in connection with sampling
• report for and use decomposition - and pretreatment techniques for inorganic and organic compounds
• report for and use analytical methods based on liquid - and gas chromatographic methods, electro-analytical methods, methods based on atomic and molecular spectrometry and mass spectroscopy and be familiar with appropriate use for these method
• explain the concept uncertainty; identify and describe different contributions to the uncertainty and calculate the combined uncertainty
• apply statistical inference in the form of confidence intervals, t-test, F-test, one-way analysis of variance and Chi-square test in chemical problems
• carry out simple linear regression with calculation of confidence intervals for slope, intercept and predictions and calculate and interpret the correlation coefficient
• calculate and present practically received analysis results in writing and use statistical methods according to above to assess and ensure the quality
• describe the principles for experimental design with more than one influencing factor and state how multivariate data can be utilised for classification and calibration
• apply the above within drugs and the manufacturing industry

Content

Analytical methods including quality assurance. Sampling and sample preparation. Chromatographic methods as GC and LC. Electroanalytical techniques (potentiometric and voltammetric techniques). Atomic spectroscopy (AAS, AES). Molecular spectroscopy (UV/Vis, NIR, fluorescence, chemiluminescence). Mass spectrometry.

Applications of univariate statistics. Quality assurance in analytical work. Introduction to experimental design for modelling and optimisation. Introduction to multivariate methods for calibration and classification.

Laboratory work: Laboratory work enlightening spectroscopy, potentiometry, gas chromatography and liquid chromatography .

Computer exercises: Computer exercises with Excel for statistical analysis of measurement. Chemometrical applications, robustness tests, classification, multivariate calibration.

Instruction

Lectures, lessons, laboratory work and computer exercises.

Assessment

Written examination during and at the end of the course (3,5 and 2,5 credits respectively), . For approval, passed laboratory course and passed assignments equivalent to 4 credits are also required . The final grade corresponds to a weighed average of the results from the written examinations and the laboratory work.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Other directives

This course cannot be included in a degree together with the course 1KB105 Analytical Chemistry I